PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

6.18 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (144 utterances, 971 words searched).

  1. well there are plenty of bricks here look . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 79 · Jeremy 2;06
  2. there we are ! FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 125 · Jeremy 2;06
  3. you're making some more steps are you ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 145 · Jeremy 2;06
  4. where are you going to put the steps ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 149 · Jeremy 2;06
  5. are they good steps ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 160 · Jeremy 2;06
  6. there we are one then +... FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 236 · Jeremy 2;06
  1. FATsome more bricks ?
    CHIyes .
    FAT*FAT: well there are plenty of bricks here look .
    FATthere're some bricks there .
    FATthere're some bricks there .
  2. FATbecause you've made a bit of a mess there haven't you ?
    CHIxx .
    FAT*FAT: there we are !
    FATand wait a moment wait wait .
    FATwait wait wait wait we'll put that this side .
  3. FATbecause Mummy's very clever at making bridges isn't she ?
    CHII'm making some more steps .
    FAT*FAT: you're making some more steps are you ?
    CHIyes .
    FATjolly good .
  4. FATjolly good .
    CHIafterwards I'm pɷkɩŋ@u [=? putting] it .
    FAT*FAT: where are you going to put the steps ?
    CHII'm going 0to 0put 0them here and xx [=? then] here .
    FATwhat, here or there ?
  5. FATlook # look look Jeremy .
    FATwhat about that for some steps ?
    FAT*FAT: are they good steps ?
    CHII wanted some more steps .
    FATyou want some more steps ?
  6. CHI<is this> [?] [/] <is this> [?] [//] this way .
    FATxxx .
    FAT*FAT: there we are one then +...
    CHIxx xx some more steps .
    CHI&w &w where are the people ?

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Jeremy bilingual_eng_french_Watkins6.18
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a02wat01.chaJeremy 2;6.27971666.18

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. are6 · 100.0%